A Novel Method of Quantifying Gait Deviations Using Plantar Pressure Patterns.
Background: Comparing the dynamic pedobarographic patterns of individuals is common practice in basic and applied research. However, this process is often time-consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools.Methods: We propose a...
| Publicado en: | Journal of the American Podiatric Medical Association (American Podiatric Medical Association, Inc.) Vol. 106; no. 4; pp. 299 - 305 |
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| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images pictorial research Journal Article |
| Publicado: |
American Podiatric Medical Association, Inc.
Jul2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117285785&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117285785 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 87507315 20R jtl: Journal of the American Podiatric Medical Association (American Podiatric Medical Association, Inc.) issn: 87507315 maglogo: N pubinfo: dt: Jul2016 vid: 106 iid: 4 pid: 5137 pub: American Podiatric Medical Association, Inc. place: Bethesda, Maryland artinfo: ui: 117285785 117285785 NLM27489972 117285785 10.7547/14-140 NLM27489972 117285785 ppf: 299 ppct: 6 formats: tig: atl: A Novel Method of Quantifying Gait Deviations Using Plantar Pressure Patterns. aug: au: Deschamps, Kevin Staes, Filip Desmet, Dirk Roosen, Philip Matricali, Giovanni Arnoldo Keijsers, Noel Nobels, Frank Tits, Jos Bruyninckx, Herman affil: Department of Rehabilitation Sciences, Musculoskeletal Rehabilitation Research Group, KU Leuven, Leuven, Belgium sug: subj: Foot Physiology Image Processing, Computer Assisted Gait Physiology Pressure Foot Probability Sample Male Podiatry Methods Kinematics Podiatry Equipment and Supplies Female Sensitivity and Specificity Human Male Female ab: Background: Comparing the dynamic pedobarographic patterns of individuals is common practice in basic and applied research. However, this process is often time-consuming and complex, and commercially available software often lacks powerful visualization and interpretation tools.Methods: We propose a simple method for displaying pixel-level pedobarographic deviations over time relative to a so-called reference pedobarographic pattern. This novel method contains four distinct automated preprocessing stages: 1) normalization of pedobarographic fields (for foot length and width), 2) temporal normalization, 3) a pixel-level z-score-based calculation, and 4) color coding of the normalized pedobarographic fields. Group and patient-level comparisons were illustrated using an experimental data set including diabetic and nondiabetic patients.Results: The automated procedure was found to be robust and quantified distinct temporal deviations in pedobarographic fields.Conclusions: The advantages of the novel method cover several domains, including visualization, interpretation, and education. pubtype: Academic Journal doctype: diagnostic images pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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